Additional connections from PV systems lead to an increased load on distribution grids due to decentralized, simultaneous power feed-in. Grid bottlenecks and violations of the permitted voltage band (according to EN 50160) are possible consequences. In evaluating additional PV connections according to contemporary DACHCZ guidelines, only single feeders are typically considered and interaction between the various decentralized systems is often overlooked. Evaluation according to DACHCZ is also often overly conservative and leads to grid expansion that is not actually needed.
Here, Adaptricity helps distribution grid operators to avoid unnecessary grid reinforcement work. In this way, the substantial costs of additional grid infrastructure can be saved instead. With the aid of time series-based grid analyses, we achieve real-world representations of how PV systems behave in the grid. This establishes the transparency needed in terms of load on the existing grids and enables the efficient planning of additional PV connections.
Thanks to realistic simulations with Adaptricity.Sim, we develop an optimal solution strategy for each customer in the context of ongoing PV expansion. Services we provide here include:
- Simulations of the current grid by using available data (base case simulation)
- Detailed analyses of grid load by PV systems
- Simulation of additional PV connections to the grid
- Analysis of the impact of additional PV systems (daily curve, seasonal effects)
- Simulation and evaluation of various grid expansion options
In the years to come, the market penetration of electric mobility will increase rapidly. This, in turn, will lead to new challenges for charging infrastructure. Simultaneous charging cycles will result in peaks in demand and grid congestion. Compounding this problem is a lack of transparency concerning the behavior of the low-voltage grids, which makes estimates of interactions between normal consumption, decentralized generation and electric mobility more difficult.
Adaptricity is capable of simulating and analyzing the future impact of electromobility on the grid. This enables considerable cost savings and prevents uncoordinated grid expansion. We achieve this by representing dynamic e-mobility user behavior realistically in the simulation. This creates transparency and permits the early identification of bottlenecks in the grid. This can then be used as the starting point for evaluating appropriate courses of action.
Adaptricity works with customers to discover their needs and challenges. This is used as the basis for developing an individual project. Potential steps in the process include:
- Dynamic representation of e-mobility user behavior (of the grid)
- Simulation and evaluation of expansion scenarios (various smart grid technologies)
- Analyses of future loads on the grid
- Precise forecasts of the operating efficiency of each variant
Demand- & Supply-Side Management
The rising proportion of fluctuating and difficult-to-forecast power generation from renewable energy sources is causing new challenges for power grids. Grids also need to handle new consumers such as heat pumps and electric vehicles. To prevent grid bottlenecks and congestion, optimized control systems are required for both demand and supply.
With its modeling, simulation and analysis of a wide range of demand- and supply-side management technologies, Adaptricity is playing a significant role in the mastering of these new challenges. In the SoloGrid project, for example, Adaptricity completed detailed simulations and data analyses of the effectiveness of Alpiq’s GridSense technology, which is designed to learn the energy flows in the distribution grids of the future and achieve the decentralized control and optimization of device electricity consumption. In the field of supply-side management, Adaptricity is also capable of simulating the various options used for active curtailment of excess PV feed-in (fixed, voltage-driven or via external input) and analyzing these options for their effectiveness.
Measurement data harvested from the grid are the basis for obtaining valuable insights for improving grid planning and operations. The challenge here is to analyze the rapidly growing volume of data and convert this into actionable insights.
Adaptricity offers its customers made-to-measure data analysis and data visualization solutions. In doing so, we create customer-specific analyses of measurement and simulation data over any timespan required (days, months, years). Using time-series analyses, this enables interaction between large electricity consumers such as heat pumps and electric vehicles to be represented, plus decentralized generation with the power grid, and the highlighting of future challenges.
Our innovative, web-based and interactive visualization methods also help to provide intelligible representations of datasets and statistical analyses, and so also improve the understanding of the grid.
Changes to the general conditions affecting the grid, such as the rise in active prosumers, are increasingly necessitating adjustments to today’s tariff models. As one example, while the self-consumption of electricity generated with decentralized systems is financially appealing to their owners, it creates revenue losses for energy suppliers and DSOs. At the same time, the effects of innovative tariff models on end customer groups and DSOs are hard to predict with accuracy.
Adaptricity is capable of configuring various conventional high- and low-tariff models, as well as dynamic tariff models, in simulations at the end-customer level. This enables the calculation and quantification of the impact of new, innovative tariff models on all stakeholders. As one example: in the event of the continued expansion of PV, various self-consumption models can be both simulated and analyzed.